Loading tests/test_config_defaults.pydeleted 100644 → 0 +0 −42 Original line number Diff line number Diff line """Tests to verify configuration defaults alignment. These tests ensure that .env.example documentation is consistent and matches what the code actually uses. """ from __future__ import annotations import re from pathlib import Path def test_embedding_model_env_comment_matches_value() -> None: """Verify .env.example TDC_AI_EMBEDDING_MODEL comment and value are consistent. The comment recommends a model, but if the actual value differs, users get confusing instructions about which model to use. """ env_example = Path(".env.example").read_text() # Find the embedding model line and its preceding comment embed_section = re.search( r"# Embedding model[^\n]*\n" r"(?:# [^\n]*\n)?" # Optional recommended line r"TDC_AI_EMBEDDING_MODEL=(\S+)", env_example, re.MULTILINE, ) assert embed_section, "TDC_AI_EMBEDDING_MODEL not found in .env.example" value = embed_section.group(1) # If there's a recommended line, extract it and check consistency recommended_match = re.search(r"# Recommended: ([^\n]+)", embed_section.group(0)) if recommended_match: recommended = recommended_match.group(1) # Extract model name from "provider/model:tag" format recommended_model = re.search(r"(\S+/\S+:?\S*)", recommended) if recommended_model: assert value == recommended_model.group(1), ( f".env.example embedding model comment ({recommended_model.group(1)}) differs from value ({value}). Update comment to match value." ) Loading
tests/test_config_defaults.pydeleted 100644 → 0 +0 −42 Original line number Diff line number Diff line """Tests to verify configuration defaults alignment. These tests ensure that .env.example documentation is consistent and matches what the code actually uses. """ from __future__ import annotations import re from pathlib import Path def test_embedding_model_env_comment_matches_value() -> None: """Verify .env.example TDC_AI_EMBEDDING_MODEL comment and value are consistent. The comment recommends a model, but if the actual value differs, users get confusing instructions about which model to use. """ env_example = Path(".env.example").read_text() # Find the embedding model line and its preceding comment embed_section = re.search( r"# Embedding model[^\n]*\n" r"(?:# [^\n]*\n)?" # Optional recommended line r"TDC_AI_EMBEDDING_MODEL=(\S+)", env_example, re.MULTILINE, ) assert embed_section, "TDC_AI_EMBEDDING_MODEL not found in .env.example" value = embed_section.group(1) # If there's a recommended line, extract it and check consistency recommended_match = re.search(r"# Recommended: ([^\n]+)", embed_section.group(0)) if recommended_match: recommended = recommended_match.group(1) # Extract model name from "provider/model:tag" format recommended_model = re.search(r"(\S+/\S+:?\S*)", recommended) if recommended_model: assert value == recommended_model.group(1), ( f".env.example embedding model comment ({recommended_model.group(1)}) differs from value ({value}). Update comment to match value." )
